Akkodis ยท 1 day ago
Data Scientist
Akkodis is seeking a Data Scientist for a Contract job with a client. The role focuses on supporting central monitoring and risk-based quality management for clinical trials, implementing and running risk metrics using clinical data with an emphasis on SAS programming.
Responsibilities
Implement and maintain pre-defined KRIs, QTLs, and triggers using robust SAS programs/macros across multiple clinical studies
Extract, transform, and integrate data from EDC systems (e.g., RAVE) and other clinical sources into analysis-ready SAS datasets
Run routine and ad-hoc RBQM/central monitoring outputs (tables, listings, data extracts, dashboard feeds) to support signal detection and study review
Perform QC and troubleshooting of SAS code; ensure outputs are accurate and efficient
Maintain clear technical documentation (specifications, validation records, change logs) for all RBQM programs and processes
Collaborate with Central Monitors, Central Statistical Monitors, Data Management, Biostatistics, and Study Operations to understand requirements and ensure correct implementation of RBQM metrics
Qualification
Required
PhD, MS, or BA/BS in statistics, biostatistics, computer science, data science, life science, or a related field
Relevant clinical development experience (programming, RBM/RBQM, Data Management), for example: PhD: 3+ years, MS: 5+ years, BA/BS: 8+ years
Advanced SAS programming skills (hard requirement) in a clinical trials environment (Base SAS, Macro, SAS SQL; experience with large, complex clinical datasets)
Hands-on experience working with clinical trial data
Proficiency with Microsoft Word, Excel, and PowerPoint
Knowledge of GCP, ICH, FDA guidance related to clinical trials and risk-based monitoring
Strong analytical and problem-solving skills; ability to interpret complex data and risk outputs
Effective communication and teamwork skills; comfortable collaborating with cross-functional, global teams
Ability to manage multiple programming tasks and deliver high-quality work in a fast-paced environment
Preferred
Experience with RAVE EDC
Awareness or working knowledge of CDISC, CDASH, SDTM standards
Exposure to R, Python, or JavaScript and/or clinical data visualization tools/platforms
Benefits
Medical
Dental
Vision
Life insurance
Short-term disability
Additional voluntary benefits
An EAP program
Commuter benefits
401K plan
Paid Sick Leave
Holiday pay
Company
Akkodis
Akkodis provides digital engineering solutions for sustainable and innovative industries.
H1B Sponsorship
Akkodis has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
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Trends of Total Sponsorships
2025 (141)
2024 (121)
2023 (67)
Funding
Current Stage
Late StageLeadership Team
Recent News
2025-11-10
Canada NewsWire
2025-11-06
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